Dataset Open Access

Red Wings Game Dataset

Javier Montesa

DataCite XML Export

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  <identifier identifierType="DOI">10.5281/zenodo.2670056</identifier>
      <creatorName>Javier Montesa</creatorName>
    <title>Red Wings Game Dataset</title>
    <subject>interactive serious games</subject>
    <subject>hand grip strength</subject>
    <date dateType="Issued">2019-05-07</date>
  <resourceType resourceTypeGeneral="Dataset"/>
    <alternateIdentifier alternateIdentifierType="url"></alternateIdentifier>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.2670055</relatedIdentifier>
    <rights rightsURI="">Creative Commons Attribution 4.0 International</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
    <description descriptionType="Abstract">&lt;p&gt;The dataset consists of log files for the game Red Wings (developed by the project&amp;#39;s partner BRAINSTORM) which is played on a tablet with the use of a Bluetooth dynamometer.&lt;/p&gt;

&lt;p&gt;The aim of the game is to control the flight altitude of a plane, which is flying along a series of landscapes, so to get as far as possible from a starting position.&lt;/p&gt;

&lt;p&gt;The users have to avoid some obstacles appearing on the way, either on the ground, e.g. trees, or floating in the air, e.g. clouds. To do that, the user will have to make the plane fly above (by gaining altitude) or underneath (by losing altitude) the obstacles, going through different levels of difficulty.&lt;/p&gt;

&lt;p&gt;The data that are collected in the log files are the following:&lt;/p&gt;

&lt;p&gt;- &lt;strong&gt;User&lt;/strong&gt;: The user ID, which should be a 4-digit number followed by &amp;ldquo;;rdquo;&lt;/p&gt;

&lt;p&gt;- &lt;strong&gt;Date&lt;/strong&gt;: The recording date, which follows the &amp;ldquo;YYYY/MM/DD&amp;rdquo; format (eg. 14 September 2017, is formatted as 2017/09/14)&lt;/p&gt;

&lt;p&gt;- &lt;strong&gt;Time&lt;/strong&gt;: The recording time, which follows the &amp;ldquo;hh:mm:ss&amp;rdquo; format&lt;/p&gt;

&lt;p&gt;- &lt;strong&gt;Frame&lt;/strong&gt;: Monotonically increasing number showing the frame of the recording (frame frequency is 60Hz)&lt;/p&gt;

&lt;p&gt;- &lt;strong&gt;Force&lt;/strong&gt;: The force applied by the user (in kg)&lt;/p&gt;

&lt;p&gt;- &lt;strong&gt;Distance&lt;/strong&gt;: The distance achieved&lt;/p&gt;

&lt;p&gt;- &lt;strong&gt;Height&lt;/strong&gt;: The height of the plane&lt;/p&gt;

&lt;p&gt;- &lt;strong&gt;Lives&lt;/strong&gt;: The lives remaining&lt;/p&gt;

&lt;p&gt;- &lt;strong&gt;Speed&lt;/strong&gt;: The plane speed&lt;/p&gt;

      <funderName>European Commission</funderName>
      <funderIdentifier funderIdentifierType="Crossref Funder ID">10.13039/501100000780</funderIdentifier>
      <awardNumber awardURI="info:eu-repo/grantAgreement/EC/H2020/690140/">690140</awardNumber>
      <awardTitle>Sensing and predictive treatment of frailty and associated co-morbidities using advanced personalized patient models and advanced interventions</awardTitle>
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